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用FFT分析离散时间周期信号的频谱实例,利用FFT分析离散时间周期信号的频谱,通过实验理解分辨率的概念和栅栏效应。-With a the FFT analysis the the frequency spectrum instance of of the discrete-time periodic signal, the use of the FFT analysis the the frequency spectrum of the discrete-time periodic signal
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仿真FFT参数对采用FFT算法分析信号频谱的影响。产生频率分别为2Hz,2.05Hz的正弦波合成信号,采样频率=10Hz。-Simulation of the influence of FFT parameters on the frequency spectrum of the signal using FFT algorithm analysis. The frequency of sine wave synthesis are respectively 2Hz, 2.05Hz signal
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DTMF的数据fft分析,每个键值的波形和频谱都有显示,有GUI界面-DTMF data fft analysis, waveform and spectrum of each key has revealed that there is a GUI interface
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该程序绘制了仿真信号的FFT频谱和功率谱,并调用emd分析方法,绘制了emd分解结果,以及瞬时包络和瞬时频率图,还有Hilbert-Huang谱和Hilbert边际谱。-The program draws the FFT spectrum and the power spectrum of the simulated signal and call emd analysis, drawn emd decomposition and instantaneous envelope and insta
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提出了一种细化FFT的短时傅立叶变换(shorttimeFouriertransform,简称STFT)时频分析新方法.STFT实 质为加窗的傅立叶变换,在窗内数据满足平稳性条件下利用傅立叶变换获得频谱,并依据时间间隔移动窗函数最终得到时频表示.细化FFT在分析频率范围内具有较高的频率分辨率,将细化FFT应用于STFT的窗内数据,可有效提高STFT的时频聚集性-Proposed a frequency analysis of short-time Fourier transform FFT re
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分析测量信号的FFT功率谱及功率谱密度,比较两者之间的差异-FFT power spectrum and power spectral density analysis comparing the measured signal difference between the two,
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基于28335的复合频率分辨器,用于对复合频谱的分析,应用全相位FFT算法-28335-based composite frequency discriminator for the analysis of complex spectrum, using the whole phase of the FFT algorithm
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Skew detection and correction is very important task before pre-processing of an image and it is a major problem in scanned documents, if it
not detected correctly it will lead wrong result in future during image analysis. During the scanning of th
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Skew detection and correction is very important task before pre-processing of an image and it is a major problem in scanned documents, if it
not detected correctly it will lead wrong result in future during image analysis. During the scanning of th
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数字信号处理的c++库,很好的资源,作者很牛,包括数值计算与常用的信号处理分析,例如FFT、小波变换、功率谱估计等-Digital Signal Processing c++ library, a great resource,including numerical analysis and common signal processing,such as FFT, wavelet transform, power spectrum estimation
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MATLAB软件平台下,利用函数wavread对语音信号进行采样,记住采样频率和采样点数;
2)画出语音信号的时域波形,对采样后的语音进行fft变换,得到信号的频谱特性;对语音信号分别加入正弦噪声和白噪声,画出加噪信号的时域波形和频谱图;
3)根据对加噪语音信号谱分析结果,确定滤除噪声滤波器的技术指标,设计合适的数字滤波器,并画出滤波器的频域响应;
4)用所设计的滤波器对加噪的信号进行滤波,在同一个窗口画出滤波前后信号的时域图和频谱图,对滤波前后的信号进行对比,分析信号变化;
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包含有希尔伯特黄变换的主程序、边际谱的计算方法、并绘制了仿真信号的FFT频谱和功率谱,并调用emd分析方法,绘制了emd分解结果,以及瞬时包络和瞬时频率图,还有Hilbert-Huang谱和Hilbert边际谱-
Including the main program of the Hilbert Huang transform, marginal spectrum calculation method, and draw the simulation signal FFT spectrum
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进行示波与FFT分析,并可读取相应峰值,查看频谱图等。-The FFT analysis is carried out, and the corresponding peak value can be read, and the frequency spectrum is shown.
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表示出两帧图像间各个像素点的相对情况,包括主成分分析、因子分析、贝叶斯分析,用于建立主成分分析模型,多元数据分析的主分量分析投影,基于kaiser窗的双谱线插值FFT谐波分析,基于互功率谱的时延估计,时间序列数据分析中的梅林变换工具,对于初学matlab的同学会有帮助。- Between two images showing the relative circumstances of each pixel, Including principal component analysis, fact
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包括调制,解调,信噪比计算,利用matlab GUI实现的串口编程例子,欢迎大家下载学习,滤波求和方式实现宽带波束形成,迭代自组织数据分析,旋转机械二维全息谱计算,基于kaiser窗的双谱线插值FFT谐波分析,预报误差法参数辨识-松弛的思想。- Includes the modulation, demodulation, signal to noise ratio calculation, Use serial programming examples matlab GUI implementa
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旋转机械二维全息谱计算,基于kaiser窗的双谱线插值FFT谐波分析,连续相位调制信号(CPM)产生,包括广义互相关函数GCC时延估计,包含CV、CA、Single、当前、恒转弯速率、转弯模型,代码里有很完整的注释和解释。- Rotating machinery 2-d holographic spectrum calculation, Dual-line interpolation FFT harmonic analysis kaiser windows, Continuous phase m
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到达过程是的泊松过程,研究生时的现代信号处理的作业,基于kaiser窗的双谱线插值FFT谐波分析,Relief计算分类权重,FIR 底通和带通滤波器和IIR 底通和带通滤波器,分析了该信号的时域、频域、倒谱,循环谱等。- Arrival process is a Poisson process, Modern signal processing jobs when the graduate, Dual-line interpolation FFT harmonic analysis kaiser
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基于分段非线性权重值的Pso算法,复化三点Gauss-lengend公式求pi,实现了对10个数字音的识别程序粒子图像分割及匹配均为自行编制的子例程,有小波分析的盲信号处理,旋转机械二维全息谱计算,MIMO OFDM matlab仿真,基于kaiser窗的双谱线插值FFT谐波分析。- Based on piecewise nonlinear weight value Pso algorithm, Complex of three-point Gauss-lengend the Formula p
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主同步信号PSS在时域上的相关仿真,用于特征降维,特征融合,相关分析等,独立成分分析算法降低原始数据噪声,基于互功率谱的时延估计,基于kaiser窗的双谱线插值FFT谐波分析,有详细的注释,是学习PCA特征提取的很好的学习资料。- PSS primary synchronization signal in the time domain simulation related, For feature reduction, feature fusion, correlation analysis,
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包含了阵列信号处理的常见算法,阵列信号处理的高分辨率估计,对于初学matlab的同学会有帮助,基于kaiser窗的双谱线插值FFT谐波分析,快速扩展随机生成树算法,基于互功率谱的时延估计,数据包传送源码程序。- Contains a common array signal processing algorithm, High-resolution array signal processing estimates, Matlab for beginner students will help,
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